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 Detalle_Publicacion

COPLA, a taxonomic classifier of plasmids

Abstract: Background: Plasmids are mobile genetic elements, key in the dissemination of antibiotic resistance, virulence determinants and other adaptive traits in bacteria. Obtaining a robust method for plasmid classification is necessary to better understand the genetics and epidemiology of many pathogens. Until now, plasmid classification systems focused on specific traits, which limited their precision and universality. The definition of plasmid taxonomic units (PTUs), based on average nucleotide identity metrics, allows the generation of a universal plasmid classification scheme, applicable to all bacterial taxa. Here we present COPLA, a software able to assign plasmids to known and novel PTUs, based on their genomic sequence. Results: We implemented an automated pipeline able to assign a given plasmid DNA sequence to its cognate PTU, and assessed its performance using a sample of 1000 unclassified plasmids. Overall, 41% of the samples could be assigned to a previously defined PTU, a number that reached 63% in well-known taxa such as the Enterobacterales order. The remaining plasmids represent novel PTUs, indicating that a large fraction of plasmid backbones is still uncharacterized. Conclusions: COPLA is a bioinformatic tool for universal, species-independent, plasmid classification. Offered both as an automatable pipeline and an open web service, COPLA will help bacterial geneticists and clinical microbiologists to quickly classify plasmids.

 Autoría: Redondo-Salvo S., Bartomeus-Peñalver R., Vielva L., Tagg K.A., Webb H.E., Fernández-López R., de la Cruz F.,

 Fuente: BMC Bioinformatics, 2021, 22, 390

Editorial: BioMed Central- Springer Nature

 Fecha de publicación: 31/07/2021

Nº de páginas: 9

Tipo de publicación: Artículo de Revista

 DOI: 10.1186/s12859-021-04299-x

ISSN: 1471-2105

Proyecto español: PID2020-117923GB-I00

Url de la publicación: https://doi.org/10.1186/s12859-021-04299-x

Autores/as

SANTIAGO REDONDO SALVO

LUIS ANTONIO VIELVA MARTINEZ

TAGG, KAITLIN A.

WEBB, HATTIE E.